Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 48% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
34 measurements spanning 53 days, net -734. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 51,762–52,716 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
28 Sept 2026, 21:58
51,872
-129
17 Sept 2026, 18:56
52,001
-42
15 Sept 2026, 19:01
52,043
-26
14 Sept 2026, 01:40
52,069
-16
12 Sept 2026, 07:00
52,085
-33
10 Sept 2026, 01:56
52,118
-47
6 Sept 2026, 22:00
52,165
-36
4 Sept 2026, 11:57
52,201
-18
2 Sept 2026, 23:15
52,219
-15
1 Sept 2026, 22:18
52,234
-17
31 Aug 2026, 23:17
52,251
-16
30 Aug 2026, 21:34
52,267
-17
29 Aug 2026, 20:25
52,284
-23
28 Aug 2026, 18:18
52,307
-22
27 Aug 2026, 17:48
52,329
-11
26 Aug 2026, 15:54
52,340
-10
25 Aug 2026, 15:56
52,350
-14
24 Aug 2026, 14:33
52,364
-8
22 Aug 2026, 22:06
52,372
-18
21 Aug 2026, 14:57
52,390
first reading
Engagement
62 posts held, back to 29 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 111 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.1%
avg views ÷ 51,872 subscribers
Avg views / post
7,340
33 posts measured
Reaction rate
10.1%
reactions ÷ views · ER floor
Posts in window
33
of 62 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 29 September 2026
Posts held
62 (29 July 2026 – 29 September 2026)
Views total
242,078
Reactions total
24,487
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Sept 2026, 05:52 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈3,180
Videos
≈948
Links
≈91
Lifetime counters from Telegram’s own channel header, read 29 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
10m 49s
Average length
41s
Measured directly from 16 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
54,860 reactions across 62 posts, in 33 distinct kinds. The most used accounts for 29.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
16,181
29.5%
😁
14,670
26.7%
🤣
8,231
15.0%
🔥
7,919
14.4%
👍
2,829
5.16%
🎉
2,375
4.33%
💯
717
1.31%
😱
476
0.868%
🍾
374
0.682%
👏
325
0.592%
😍
195
0.355%
🥰
181
0.33%
🤝
91
0.166%
❤🔥
84
0.153%
👀
39
0.071%
🤗
39
0.071%
🏆
32
0.058%
🙏
20
0.036%
🙈
16
0.029%
💔
10
0.018%
13 further kinds
56
0.102%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 62 of the 62 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 54,860 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 62 most recent posts we hold, published 29 July 2026 to 29 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
34
across the posts below
Posts paid on
11
of 62 we hold a reading for · 18%
Most on one post
15
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olechkindurdom. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 62 most recent posts we hold for this entry, published 29 July 2026 to 29 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
1.61%
1 of 62 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
11,100
over 1 measured post
Median views · rest
8,090
over 61 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VSb5yfnmeA
1
12 September 2026
12 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 62 most recent posts we hold, published 29 July 2026 to 29 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Сюда же еще отказ от глажки, даже рубашек в школу 😈 максимум попрыскать и расправить, оно конечно все равно как из жопы, но хоть не совсем уж )) готовлю сына для невесток, они никогда не скажет «моя мама готовит да лучше, моя мама гладила все, убиралась» не благодарите 🤣
Таки мне есть, што сказать😃
1. Нахер каждодневное мытьё полов
2. Кровать можно не заправлять, а на заправленной можно валяться, сколько угодно.
3. Детям можно есть "в зале у телевизора". И взрослым тоже. И у компа можно.
4. Мыть посуду, когда захочу. Вернее, когда муж захочет загрузить ПМ, потому что я туповата для работы со сложной техникой😇 Никакой трагедии, если тарелки будут лежать в раковине хоть неделю. Мне…
Нам телефон очень долго не ставили, это вапще-то не так просто было. Очередь длиною лет в 10.
И только когда с нами стал жить отчим, он употребил административный ресурс, и в доме появился травяного цвета аппарат с круглым диском. Можно было по-модному крутить его карандашом, спрашивать у подружки домашку и просто болтать до потери пульса. А можно было случайно подслушать, если схватить трубку в зале, а мама в спаль…
Кто в детстве мечтал стать учительницей начальных классов, тот я. Чтобы проверять тетрадки красной ручкой, стоять с указкой у доски и учить малышей уму-разуму. Сажала трехлетнего брата писать прописи, получалось у него отчего-то плохо🙄🤣, тогда "учительница" орала и швыряла тетрадь. То есть сразу понятно было, что педагогическая стезя - не по моему профилю😏🤣
Потом я мечтала стать юристом, как отчим. Чтобы вечером уст…
Извините, говорю Артёмсергеичу, ради кого выдающийся спортсмен нашей современности ввязался в курс “Реальное похудение” и уже неделю кряду скачет как полоумный под подбадривания тренера Мишани, хотя он этому спортсмену не нравится совсем? Представь себе, ради тебя, чтоб ты не думал, будто одни бабы этой хренью страдают, а присоединился к олимпийским достиженьям, не откладывая похуденье пуза в долгий ящик.
А он и отв…
Дёмчик ненавидит выходить из дома. Он не гуляет, не нервирует мать как Кристобаль Баленсиагович шляньями по Москве от забора до заката, предпочитает не отлучаться от компа и мечтает, чтобы полудурошное семейство не трогало его своими безумными идеями.
Посему, когда я возопила, чтобы все паразиты срочно встали с диванов, натянули на трусы штаны и отправились под моим предводительством получить государством данную вак…
Итак, загадка продвинутого уровня: что за гаджет вечером помогает заснуть, а утром снять отеки с век? Массирует зону вокруг глаз, снимая усталость? Без подглядывания в фотки ни за что бы не догадались, клянусь!
Это еще один массажер QYRON! Внешне похож на современные очки для компьютерных игрушек, но без бессмысленной виртуальной беготни. Надеваешь на глаза - и погружаешься в негу. Легкая музыка, массаж. Артёмсергеи…
Сняла видео ДО на случай неожиданного превращенья в худую и спортивную сучку😏🤣
Пока ничо этого не предвещает, истесно, но с чем чорт не шутит😎
❤395😁208🥰27🔥12
Showing the 12 most recent of 62 posts we hold for @olechkindurdom. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@olechkindurdom edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
23 September 2026
Most recent edit
23 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 24 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Та самая Ksuuuuu @ksuuuuu_govorit · 21,753 Telegram ranks this channel #5 of 53 here — alongside 52 others — read 22 September 2026
АНАСТАВАНГА @anastavanga · 47,639 Telegram ranks this channel #7 of 80 here — alongside 79 others — read 26 August 2026
Микерина. Роды? Зови акушера! @mikeryna_sashaa · 189,517 Telegram ranks this channel #7 of 77 here — alongside 76 others — read 11 August 2026
ЛЕТНЕЕ УТРО | Letneeutro @Letneeutro_channel · 48,525 Telegram ranks this channel #10 of 68 here — alongside 67 others — read 26 August 2026
Ина Малина @inamalina · 27,963 Telegram ranks this channel #12 of 62 here — alongside 61 others — read 10 September 2026
Natasha.ffb @natasha_ffb_tyt · 39,526 Telegram ranks this channel #15 of 63 here — alongside 62 others — read 30 August 2026
НЕСЮ НЕСЁТ | ЭКОРАЗНОС @the_nesya · 40,778 Telegram ranks this channel #17 of 68 here — alongside 67 others — read 30 August 2026
Вы меня спрашивали😁 @samchuk_telegram · 49,882 Telegram ranks this channel #17 of 66 here — alongside 65 others — read 25 August 2026
Vselennaya @vselen_naya1 · 117,856 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 24 August 2026
Ksu na samokate @ksunasamokate · 231,670 Telegram ranks this channel #18 of 55 here — alongside 54 others — read 22 August 2026
Mary_chemi @marychemi · 20,333 Telegram ranks this channel #21 of 81 here — alongside 80 others — read 28 September 2026
Собачий Потрох @sobachkyn_potroh · 47,604 Telegram ranks this channel #21 of 70 here — alongside 69 others — read 26 August 2026
Nasty Tasty party @nastia_tasty · 31,230 Telegram ranks this channel #24 of 71 here — alongside 70 others — read 6 September 2026
БЕЗУДЕРЖНОЕ ВЕСЕЛЬЕ @bezuderjnoe_veselie · 33,700 Telegram ranks this channel #25 of 70 here — alongside 69 others — read 3 September 2026
Panochka Выплаты и пособия @panochka_yanochkatut · 36,973 Telegram ranks this channel #25 of 48 here — alongside 47 others — read 1 September 2026
Вшивая интеллигенция @vshivaya_intelligenciya · 51,995 Telegram ranks this channel #27 of 83 here — alongside 82 others — read 25 August 2026
Tobolator @tobolator · 51,043 Telegram ranks this channel #28 of 64 here — alongside 63 others — read 25 August 2026
Двое в животе @dvoe_v_zhivote · 34,582 Telegram ranks this channel #30 of 62 here — alongside 61 others — read 3 September 2026
Didenko.katerina @provizordidenko · 57,347 Telegram ranks this channel #31 of 63 here — alongside 62 others — read 23 August 2026
Kvadromama @marinka_kvadromama · 44,924 Telegram ranks this channel #33 of 64 here — alongside 63 others — read 27 August 2026
Клуб zhenya_prorab @zhenya_prorab · 52,194 Telegram ranks this channel #36 of 75 here — alongside 74 others — read 24 August 2026
Galabob @galabob_telegram · 81,025 Telegram ranks this channel #37 of 73 here — alongside 72 others — read 21 August 2026
Варенички @varenikivtelege · 30,486 Telegram ranks this channel #38 of 57 here — alongside 56 others — read 7 September 2026
❤️🔥istinaglagolova Life❤️🔥 @istinaglagolova · 41,777 Telegram ranks this channel #38 of 75 here — alongside 74 others — read 29 August 2026
This channel appears in 54 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 28 September 2026 — this
entry's latest reading, not the date you are reading this.
“Olechkin_durdom” (@olechkindurdom), 51,872 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/olechkindurdom.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.